decagon

Graph predictor

Predicts side effects of drug combinations by learning node embeddings in multimodal graphs using graph convolutional networks

Graph convolutional neural network for multirelational link prediction

GitHub

452 stars
25 watching
142 forks
Language: Jupyter Notebook
last commit: almost 4 years ago
Linked from 1 awesome list

deep-learningembeddingsgraph-convolutional-networksgraph-neural-networkspharmacologyrepresentation-learning

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
benedekrozemberczki/attentionwalkAn implementation of a deep learning algorithm to generate node embeddings in graphs322
benedekrozemberczki/teneA sparsity-aware implementation of a deep learning algorithm for graph embedding with text information.74
benedekrozemberczki/role2vecAn implementation of a deep learning-based method for creating vector representations of nodes in a graph167
mims-harvard/ohmnetAn algorithm for learning feature representations in multi-layer networks81
benedekrozemberczki/grarepAn implementation of a method for learning graph representations from global structural information in a network64
benedekrozemberczki/sineAn implementation of a scalable method for learning node representations in complex networks72
benedekrozemberczki/featherA reference implementation of a method for learning graph node embeddings from graph structure and node features47
malllabiisc/wordgcnA deep learning model that generates word embeddings by predicting words based on their dependency context291
benedekrozemberczki/gemsecA reference implementation of graph embedding with clustering using deep learning techniques253
benedekrozemberczki/sgcnAn implementation of a deep learning algorithm for graph data270
xgfs/verseAn open-source implementation of graph embedding from similarity measures129
benedekrozemberczki/baneA software implementation of a graph embedding algorithm87
benedekrozemberczki/musaeImplementation of a method for generating node embeddings in graph data with attributed information160
benedekrozemberczki/m-nmfAn implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques121
zhengwang100/rectA deep learning framework for graph representation learning with partially labeled data19